Identifies LLMs, programming languages, and tools that can bring efficiencies or needed techniques to the team.
Utilizes effective project planning techniques to break down AI/predictive modeling and/or development tasks into manageable subtasks, and ensure deadlines are kept.
Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions.
Reviews, evaluates, communicates, and makes recommendation on appropriateness of AI/modeling techniques and results to team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
Collaborates with outside business units and works on data and complex business problems to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
Effectively understand the business' problems and requirements to identify the optimal modeling approach.
Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.

Requirements

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata analyticsdata sciencePythonTensorflowAI agentsAI governancestatistical techniquespredictive modelingproject planning

Soft Skills

communicationcollaborationinfluencingproblem-solvingorganizational skills